Skip to content
llm-speed
wrapped·Jul 02, 2026
/r/r_dlanfbgym0h
your run

gemma3

195
tok/sdecode
RTX 4090 (24GB) + AMD EPYC 7443 24-Core Processor (24c) + 252GB
rank in tier
1/12RTX 4090 runstop 8%
best workload
chat-short
where the rig flew
slowest workload
chat-long188 tok/s
where the rig struggled
backend
ollamaollama is llama.cpp under the hood; pure llama.cpp tends to nudge a few % faster.
faster than
  • stable-code-instruct-3b-4bit on M3 Ultra192 tok/s
  • coder-v2 on RTX 3090189 tok/s
  • DeepSeek-Coder-V2-Lite-Instruct-4bit on M3 Ultra168 tok/s

This is a shareable view of one signed llm-speed suite-suite-v1 run. Numbers are not edited. The raw record has every workload, the public key, and the fingerprint hash.